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Predicting Winners of 49ers Biggest Position Battles
Position battles are one of the most interesting things about training camp and the preseason. The San Francisco 49ershave an elite roster, but that doesn't mean some spots still aren't being fought for. Since then, we've seen several more practices and we've had a depth chart release.
Elon Musk Says AI Will Be SpaceX's Biggest Business by September: Does the Math Check Out?
SpaceX (NASDAQ:SPCX) CEO Elon Musk says artificial intelligence will overtake everything else the company sells as soon as next month. In an all-hands meeting, Musk said AI revenue “will exceed all other SpaceX revenue probably in September, like next month,”...
Patients wary of government, companies pushing AI as a rural healthcare solution
Two of the nation’s most powerful health officials predict artificial intelligence will play a key role in solving rural America’s health challenges, but some rural Americans are skeptical.
MLB Expert Picks & Baseball Predictions August 12
Four MLB expert picks and baseball predictions for Wednesday, Aug. 12.
2026 St. Jude Championship Preview, Full Field And Odds
Taking a look and previewing the field, purse, picks, and predictions for the first leg of the FedEx Cup Playoffs, the St. Jude Championship.
Philadelphia Eagles QB Predicted To Get Traded Before Final Cuts
The Philadelphia Eagles have a quarterback controversy, but it’s not on a major scale. Jalen Hurts is the guaranteed starter. His backup? That’s between Andy Dalton and Tanner McKee. Before the final week of the 2025 NFL regular season, nobody could’ve predicted that McKee would be seen as somebody on the chopping block, yet here […] The post Philadelphia Eagles QB Predicted To Get Traded Before Final Cuts appeared first on HEAVY.
Your address holds clues to knowing your child's hospitalization risk
Researchers at Cincinnati Children's used local data to create a framework that predicts a child's hospitalization risk based on their address.
Lakers Projected Trade Package for Klay Thompson Revealed
The Los Angeles Lakers have been somewhat unpredictable so far this offseason. Other than the Walker Kessler deal, they ditched the blockbuster trade and instead opted to prioritize complementary additions. The front office doesn’t appear to be done yet, and there is an opportunity to further increase guard depth and veteran shooting. Dallas Mavericks star […] The post Lakers Projected Trade Package for Klay Thompson Revealed appeared first on HEAVY.
Steelers' Derrick Harmon Earns Strong Prediction for 2026 Season
Pittsburgh Steelers defensive tackle Derrick Harmon has received a major prediction ahead of the 2026 season.
Heart health enters the future with a $28.7 million gift from the Marcus Foundation
Related News USC Stem Cell welcomes new leader, renowned physician-scientist Chuck Murry August 20, 2024 An early blood test can predict survival in patients with metastatic prostate cancer, shows USC […]
Kalshi CEO slams founders for being over-reliant on ‘mostly trash’ business advice—he founded his now-$22 billion prediction market as a college grad
Kalshi’s 30-year-old CEO says most business advice is ‘trash’—he doesn’t read management books or listen to podcasts: ‘I’m gonna make it up as I go’
2026 College Football Playoff bracket projection: Notre Dame, Georgia take top seeds
See CBS Sports' full 2026 College Football Playoff projections, including the 12‑team field, first‑round matchups, quarterfinal picks, semifinal results and a national championship prediction
Today’s clicks can reveal tomorrow’s breakthroughs
The trail of likes, shares and downloads we leave across the internet could help predict successful innovations years in advance.
Blending Fusion Science, AI to Predict DIII-D Tokamak Behavior
Data scientists from the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility and partner institutions have developed a deployable machine learning (ML) framework that can adaptively predict changes in a magnetic confinement fusion research machine’s hardware. The innovative method, recently published in the journal Machine Learning with Applications, promises to help make the operation of fusion devices more stable and accelerate humanity’s pursuit of a superabundant
Why Family Businesses Lose Control
Family businesses often fail to prepare the next generation for their most important role—not as executives, but as owners. As a result, families can gradually lose the ability to direct the enterprise, not because of a single crisis but because ownership capability erodes across generations through predictable governance and succession mistakes. To preserve long-term control, family businesses must deliberately develop owners who can exercise sound judgment, govern effectively, and hold management accountable.
Saber's newest game trailer takes a shot at Gearbox's CEO, if you look closely
The first hint that something might be up with the recent debut trailer for Saber Interactive’s Rideshare Stimulator is an unusual choice of words—aside from that second one in the game’s title. “Don’t take your passengers too seriously,” the trailer’s narrator says, as he describes this upcoming game. It a car game about the gig work of driving eccentric people to their destinations, a riff on Crazy Taxi. And then, he says: “When I think I’ve met the randiest of passengers, someone even stranger gets in.” “Randiest”? That suggests “randy,” which usually means having strong sexual desire. Yet none of the oddball backseat occupants featured in the trailer seem particularly lustful. One is an old man who considers his grandson a failure, another shares the theory that birds might control traffic lights, another says he’s banned from an aquarium. A little later, there’s a license plate, shown 63 seconds into the trailer, on the front of an SUV: USB DRV It’s a Texas plate. The symbol between those letters is a cog wheel. If you know, you know. That’s a reference to Texas-based Borderlands game development studio Gearbox Software (their logo features a cog wheel). More specifically, it’s a reference to Gearbox’s CEO Randy Pitchford, who in 2018 found himself explaining the nature of video he’d saved on a USB drive that was found at a Medieval Times restaurant before being returned to the studio: “It was ‘barely legal’ porn. This girl’s handle was ‘Only 18.’” The “girl” in the video had committed a solo sex act that Pitchford, an avid practitioner of magic, found remarkable. “I realized, this is not a sex worker…This is a fucking magician.” Back then, the USB drive was central to competing lawsuits against Gearbox by the studio’s former lawyer and by Gearbox against him. A settlement in late 2019 “exonerated” Pitchford, per the Hollywood Reporter. The USB story has resurfaced at times, now in a trailer from a company that not long ago was corporate brethren with Gearbox. Saber vs. Gearbox The head of Saber told Game File that the reference is payback. “The dig is because Randy took shots at Embracer in Borderlands 4,” Saber CEO Matt Karch told me when I asked him about the license plate. “Without Embracer, Randy is performing magic tricks at birthday parties for a living.” Having interviewed Karch during a cross-country flight in late 2024, I can confirm that Karch was unimpressed with Pitchford during their time both working in the Embracer group. I’d approached him not out of surprise that there was animosity but that it was manifesting publicly now. Gearbox was founded in 1999, worked on a port of Halo early on, and developed hit series such as the loot-based sci-fi shooter Borderlands before it was purchased by The Embracer Group in early 2021 for $363 million (with a possible earn-out of over $1 billion, if certain targets were hit by 2027). Saber was founded in 2001, worked on a remaster of Halo early on, had a big hit with zombie shooter World War Z and was purchased by Embracer in early 2020 for $150 million, with a potential earn-out of up to $375 million. For a few years, the Embracer group was a voracious acquirer of game studios. Then, as investment dried up, it choked. In March 2024, Embracer sold Saber to an investment company controlled by Saber CEO Matt Karch, and it sold Gearbox in an all-stock deal to long-time Borderlands publisher Take Two Interactive. Other studios were shut down. Hundreds of developers were laid off. Gearbox didn’t say much about their Embracer experience, nothing too direct, at least. In the summer 2024, Pitchford told reporter and occasional Game File contributor Nicole Carpenter that Borderlands 4’s story was in some way thematically connected to Gearbox’s experience at Embracer: “There’s this cultural and emotional shift in me, personally, and at the studio. What does it mean to trade some autonomy for organization?” When Borderlands 4 came out, there was something stranger: the matter of “Embracer’s Bluff,” a location in the game featuring an AI-powered toilet and a large trash dump, according to a detailed Kotaku account of the place. Gearbox never commented on it; Take Two never got back to me about it when I asked them last year. By contrast, since Saber exited Embracer, Karch has been one of Embracer’s biggest defenders, casting their management as well-meaning and supportive despite the layoffs and studio closures that resulted from their excessive expansion. Like others, Saber’s Karch saw Embracer’s as a shot. With Rideshare Stimulator’s trailer, he’s returned fire. “It’s amazing to me how fast people forget those who went above and beyond for them,” Karch told Game File. A rep for Gearbox did not comment by press time. Game File is a reader-supported publication. Your backing makes my reporting—including any coverage of trailer-based beefs—possible. Good news! I’m currently running Game File’s first big sale of 2026. You can get a one-year subscription for 23% off. Click here to take advantage of the limited-time offer. And thank you for your support! Item 2: In brief… 🚫 Wal-Mart has laid off the staff of Restart, a games media outlet launched in 2024, Aftermath reports. 🟥 A GTA VI preview is on the way, at last, via an “extended look” that will premiere, unusually, on Netflix at 3pm ET on August 27, then officially go live elsewhere six hours later. Last week, Game File noted that Take Two label Rockstar Games is overdue for showing off GTA VI, based on the timing of the initial hands-off previews of GTA V and Red Dead Redemption 2. During a call with investors, Take Two CEO Strauss Zelnick said pre-orders for GTA VI were “unprecedented and astonishing,” but added the company can’t predict how many of those pre-orders represent bonus sales vs. sales that otherwise would have been made at launch. During the same call, Zelnick was noticeably bullish on the future of playing games over streaming cloud connections (predicting wider adoption in three or so years). He sounded unbothered by Sony’s plans to stop making discs for new games (he said the business is 90% digital already and predicted that there could still be limited edition physical editions of games “in the same way there’s still vinyl in the recorded music business.”) 👀 Take Two wrote off $43 million in their spring quarter after deciding “not to proceed with further development of an unannounced title in its pipeline from a third-party developer.” 🤔 Some rare age-demographics from a big publisher: Capcom recently told investors that “users in their 20s account for approximately half of the users of both Pragamata and Resident Evil Requiem.” Item 3: The week ahead Tuesday, August 11 Game releases: The Elder Scrolls IV: Oblivion Remastered (Switch 2; already out for PC, PS5, Xbox) continues the Bethesda strategy of putting Elder Scrolls games on everything; Royalty Free-For-All is a Smash Bros.-style fighting game featuring public domain characters such as Mother Goose brawling with Oliver Twist in a stage based on the original Little Shop of Horrors movie. Wednesday, August 12 Game release: Pro Jank Footy (PC, console) is an arcade-style Australian Rules Football game with increasingly ridiculous rules, the more you play (I enjoyed the Steam demo) Thursday, August 13 Game release: Super Mario Sunshine (Switch 2, originally released in 2002 on the GameCube) is released for Switch 2’s Nintendo Switch Online service. This game is the black sheep of 3D Mario games. It’s the successor to the breakthrough Super Mario 64 and the rare Mario game built around a single (vacation resort) theme. Mario’s got a water-spraying backpack, a Yoshi pal and a lot of blue coins to collect.
I Watched My Startup's Hidden Weaknesses Surface Overnight — Here's the 4-Part Stress Test Every Founder Should Run Before a Downturn Hits
Most companies don't break all at once — they crack in predictable places, and the founders who survive are the ones who pressure-test cash, dependencies, control and speed before the market forces them to.
Broncos 53-man roster prediction going into preseason
Preseason kicks off for the Broncos later this week. Here's our updated 53-man roster prediction before the games begin.
Forty Under 40: Devin Kuhl
When Devin Kuhl joined ArcBest nearly 15 years ago as an entry-level graphic designer, he couldn’t have predicted he would one day help redefine how customers interact with the company’s...
Scientists Release Biggest 2D Map of the Universe
Key Takeaways The DESI Legacy Imaging Surveys combined more than 263,000 telescope exposures to make the largest 2D map of the universe in visible and near-infrared light. Astronomers can pair the Legacy Surveys map with their own observations to explore our universe and search for rare phenomena. The 2D map serves as the foundation for the Dark Energy Spectroscopic Instrument survey to measure the universe in 3D and investigate dark energy. Hold on to your telescopes: the DESI Legacy Imaging Surveys team has released the largest-ever 2D color map of the universe. The 5.6-trillion-pixel map contains nearly 4 billion celestial objects, primarily stars and galaxies. The data is available for all to use and publicly viewable through the Legacy Survey Sky Viewer. Astronomers and citizen scientists can explore the map or combine it with their own observations to better understand our universe. Researchers can search for rare phenomena like gravitational lenses, observe fleeting events like supernovae, and investigate two of physics’ biggest mysteries: dark matter, the invisible substance that accounts for most of the mass in our universe, and dark energy, the force driving our universe’s accelerating expansion. The new map builds on earlier versions from the DESI Legacy Imaging Surveys that have already proved invaluable. To date, more than 1,800 science papers that reference the Legacy Surveys data have been published. “It’s part of the fabric of astronomy research now,” said David Schlegel, a co-lead of the Legacy Surveys and scientist at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab). “When you’re working with astronomical objects today, you often start by pulling up the Legacy Imaging Viewer to see what you’re looking at.” Covering roughly 75% of the sky in visible and near-infrared light, the updated map provides a deep view of the extragalactic universe not blocked by the dust and stars of our own Milky Way. Researchers expect it will remain the most comprehensive 2D map of our universe for years to come. More than 160 scientists contributed to data collection for the project, and a team of 20 produced the final dataset released today. It was built by combining 263,407 telescope exposures from three ground-based sky surveys: the Dark Energy Camera Legacy Survey (DECaLS) at NSF Cerro Tololo Inter-American Observatory, the Mayall z-band Legacy Survey (MzLS) at NSF Kitt Peak National Observatory, and the Beijing-Arizona Sky Survey (BASS) at the University of Arizona’s Steward Observatory. That was supplemented by years of data from NASA’s Wide-field Infrared Survey Explorer (WISE) satellite mission and additional public data. “For our team, these data are fundamental to our investigation of the expansion history of the universe and the formation of our galaxy,” said Arjun Dey, co-lead of the Legacy Surveys and an astronomer at NSF NOIRLab. “But the skies belong to everyone, and this survey gives everyone the chance to explore the sky and marvel at its wonders.” Here be galaxies The DESI Legacy Imaging Surveys were originally conducted to prepare for the Dark Energy Spectroscopic Instrument (DESI) survey. The Legacy Surveys’ 2D map is essentially a deep photograph of the sky; it records where galaxies and stars appear and how bright they appear. This crucial step enables DESI to select objects and measure their light in different wavelengths to determine their distances, building the largest high-resolution 3D map ever made. Scientists study the way galaxies have clustered at different ages of the universe to track dark energy over time. In April 2026, DESI completed its original five-year survey ahead of schedule and with vastly more objects than expected. The early results have shown surprising hints that dark energy’s impact may be weakening over time — a paradigm shift that could potentially shape the predicted fate of our universe. DESI expects to publish improved results using their first five years of data in 2027 and is continuing observations into 2028. DESI was so efficient at observing galaxies, the Legacy Surveys map needed to expand. Early on, “it became clear we might run out of galaxies to look at and run out of sky, and we better start doing something about that,” said Schlegel, who also works on DESI. The new Legacy Surveys map has been used to select DESI targets since June 2026 and will guide the telescope’s operations over the coming years. Computing the cosmos Merging hundreds of thousands of images taken on 2,285 nights, each with unique atmospheric and telescope conditions, was a massive computational effort. It took about a year to develop the computer code and eight weeks to process all the images at the Perlmutter supercomputer at the National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab. Beyond supporting DESI, the Legacy Surveys will be a foundational reference for the next generation of telescopes. As new observatories like the NSF-DOE Vera C. Rubin Observatory (jointly funded by NSF and DOE’s Office of Science) and NASA’s Nancy Grace Roman Space Telescope come online, researchers can compare their observations with one of the deepest and most comprehensive views of the sky ever assembled. The Legacy Surveys data will also help scientists train artificial intelligence tools to analyze petabytes of astronomical data and accelerate new discoveries. It will be among the datasets used in an astrophysics pilot project within the American Science Cloud, part of the DOE’s Genesis Mission. The DESI Legacy Imaging Surveys are supported by the U.S. Department of Energy’s Office of High Energy Physics; the National Energy Research Scientific Computing Center, a DOE Office of Science user facility; the U.S. National Science Foundation, Division of Astronomical Sciences; and the partner institutions. DESI is supported by the DOE Office of Science and NERSC. Additional support for DESI is provided by the NSF; the Science and Technology Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the Heising-Simons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the Secretariat of Science, Humanities, Technology and Innovation (SECIHTI) of Mexico; the Ministry of Science and Innovation of Spain; and by the DESI member institutions. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
Polymarket Promo Code SBWIRE Get $20 Bonus for NFL, Politics & More For August
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Predicting the top 5 franchises in all 4 major sports leagues over the next 50 years
Who will be the best team in every league over the next 50 years?
Updated Steelers 53-man roster projection
The Steelers are two weeks into training camp and we have updated our predictions for the team's final 53-man roster.
The video game industry's new cheat code: AI prompts
Experts predict AI will eventually create full games.
Trading platform Plus500 reports higher core profit as US business gains traction
Trading platform Plus500 reported a rise in half-year core profit on Monday, aided by higher trading activity as the company expanded its U.S. business and rolled out more products, including the fast-growing predictions market.
'Football 301' predicts win totals for the AFC West, where the Broncos look to maintain, Chargers look to take a big step and Patrick Mahomes gets help
Voyager 1 is down to two working science instruments, and the fix that just bought its twin, Voyager 2, another year of power is now being tested on a probe NASA says no longer behaves quite like its sibling
After nearly fifty years in the void, NASA is attempting an untested power trick on a probe that's increasingly unpredictable—and may be running out of time.
CBS Sports predicts Florida's record in Jon Sumrall's first season
CBS Sports anticipates a three-win improvement for Florida football during Jon Sumrall's first season in Gainesville.
MLB Predictions and Moneyline Picks for Sunday, August 9
We share MLB moneyline predictions for all 15 games on Sunday's slate, highlighted by the Houston Astros beating the San Diego Padres as +113 underdogs!
Manchester City vs Atletico Madrid – Predicted lineup and team news
Manchester City will play their final pre-season friendly against Atlético Madrid on Sunday, ahead of next week’s Community Shield match with Arsenal.City arrive at this game having won one of thei...
2027 Pro Football Hall of Fame predictions, including Bill Belichick
Who might make the Pro Football Hall of Fame next year?
Fantasy Expert Makes Bold Prediction for Rising Packers WR
Matthew Golden is one of the most polarizing players in fantasy football this year. However, Hayden Winks of Yahoo Sports has a bold prediction that should have Green Bay Packers fans excited about the second-year wide receiver.The fantasy analyst sees Golden finishing the year as one of the 40 best wide receivers in fantasy football. […] The post Fantasy Expert Makes Bold Prediction for Rising Packers WR appeared first on HEAVY.
Salkilld Vs. Gamrot Odds, Full Fight Preview & Prediction
Ultimate Fighting Championship (UFC) Lightweight standouts Quillan Salkilld vs. Mateusz Gamrot will clash TONIGHT (Sat., Aug. 8, 2026) inside Meta Apex in Las Vegas, Nevada, for UFC Vegas 120. Salkilld is the brightest Australian prospect in quite some time. In less than two years on UFC’s roster, Salkilld has racked up five wins and four […]
D23 - Disney Entertainment Showcase Disney+ Predictions
On the evening of Friday, 14th August 2026, Disney takes over the Honda Centre for a two-hour-long Disney Entertainment Showcase
Formula One is lagging other sport stocks. Why analysts think it's poised to race ahead
As the sports sector remains resilient among consumers, analysts are predicting big gains for this racing league.
Predicting Georgia Bulldogs Record in 2026 Regular Season
The Georgia Bulldogs will try to get back to the College Football Playoff.
US scientists turn to sharks for help with hurricane prediction
Researchers at the University of Delaware are set to tag sharks off the US East Coast with small electronic devices for collecting data that could prove useful for hurricane prediction.
Scientists turn to sharks to improve hurricane predictions
From the killer shark of Jaws to the tornado-tossed predators of the Sharknado movies, films long have portrayed sharks as objects of summer fear. But when a shark cuts through the waters off the U.S. East Coast, it now may be doing more than hunting. It may also be gathering data that helps scientists understand the potential intensity of a hurricane before it makes landfall.
CFTC warns prediction markets against American-style casino odds
The Commodity Futures Trading Commission told prediction markets to avoid using American-style gambling odds as the US regulator fends off legal challenges alleging the platforms are illicit sports betting operations.
UFC Vegas 120 Predictions for Mateusz Gamrot vs Quillan Salkilld
UFC Vegas 120 goes down this Saturday, August 8, at Meta Apex in Las Vegas, Nevada. With 12 fights on the card, it should be an exciting night of action for fight fans who are looking forward to seeing some entertaining scraps. Here are our picks for all 12 fights on the card. The main event of UFC ...
NYSBA To Host Free Program on Mobile Sports Betting and Problem Gambling - New York State Bar Association
The New York State Bar Association is set to host a webinar on mobile sports betting – and what to do if it becomes a problem – on Monday, Aug. 17 from 12 p.m. to 1 p.m. The program, “The New Gambling Landscape: Mobile Sports Betting and Prediction Markets,” is free for all to attend.
Polls, prediction markets and Oklahoma politics: What you need to know this election season
Oklahoma's primary runoffs are weeks away, but people are already placing bets on who will win. Here is how prediction markets could impact our elections.
Viewpoint: Europe needs a new scientific contract
The White House's new science strategy should be required reading in the Berlaymont and every European capital.Not because Europe should copy it. Parts of it should concern Europeans deeply. But because it asks the question Europe has so far avoided while steadily losing ground in the global race for technological leadership.Europe already possesses many of the world's finest universities, scientists and research-intensive companies. It produces world-leading research in fields ranging from quantum technologies and biotechnology to climate science. Yet time and again Europe generates the scientific breakthroughs while others build the companies, industries and strategic advantages around them, particularly in digital technologies. Increasingly, we find ourselves regulating technologies whose underlying capabilities were developed elsewhere.This is not primarily a scientific failure. It is an institutional one.The settlement that shaped modern science policy emerged after the Second World War. In Science, the Endless Frontier, Vannevar Bush argued that governments should invest in fundamental research while protecting scientists from political direction. Public investment was justified precisely because no government, university or company could predict where the next transformative discovery would emerge.That scientific contract served liberal democracies extraordinarily well. It underpinned decades of advances in medicine, computing, energy and communications, but the world for which it was designed no longer exists.Artificial intelligence is transforming not only technology but the production of knowledge itself. Advanced chips, computing power, data and scientific instruments have become strategic assets. Scientific knowledge now diffuses globally almost instantly. Competitive advantage increasingly lies not in making discoveries first, but in possessing the infrastructure, capital, engineering capability and institutions required to translate those ideas into products, industries and strategic advantage.The old boundaries between science, industrial policy, national security and geopolitics have largely disappeared. Dual-use technologies now underpin both economic power and military deterrence.The US has recognised this shift. In July, the White House published Science: A New Golden Age, a comprehensive attempt to rethink the relationship between science and national power. The report builds on Bush's legacy, but departs from his framework in important ways. Science is no longer treated simply as the source of future discoveries. It is presented as the foundation of economic resilience, technological leadership and national security. AI, advanced infrastructure and the capacity to build become as important as discovery itself.Yet the report also reveals a striking paradox. The same administration calling for “a new golden age” of US science has simultaneously proposed deep cuts to the federal research enterprise while expanding political influence over the allocation of public research funding. Europe should therefore distinguish between the report's diagnosis and its prescription. The diagnosis, that science has become a strategic asset, is compelling. But the prescription is self-defeating. Long-term technological leadership depends on strong universities, academic freedom and the institutional autonomy that makes scientific discovery possible. This distinction matters. Bush's achievement was never simply to make science serve national strength. It was to establish a division of labour in which governments invested in research without attempting to direct discovery itself. Scientific breakthroughs emerge precisely because researchers retain the freedom to pursue questions whose value cannot yet be demonstrated and whose conclusions cannot be anticipated.Neither China, nor the USAs science becomes more strategically important, the temptation to politicise it inevitably grows. But scientific freedom is not an obstacle to technological leadership, it is an essential precondition.China represents the opposite model. For decades it has integrated science, manufacturing, infrastructure and industrial policy into a single national strategy. Its ability to mobilise resources around critical technologies is formidable. But it does so within an authoritarian system where scientific priorities are increasingly inseparable from political power.Europe should imitate neither model. It should learn from the strategic ambition of the US without importing its growing politicisation of science. And it should learn from China's capacity to build without adopting its concentration of power.Instead, Europe needs a scientific contract of its own. Bush's scientific contract protected the freedom to discover because the defining challenge of the 20th century was producing new knowledge. Europe's next scientific contract must preserve that freedom while ensuring that scientific discoveries can be converted into technological, industrial and strategic capability. Because in a transactional world, Europe's freedom to shape its own future depends on its capacity to build it.Related articlesThe US ‘golden age’ science strategy: what Europeans need to knowEuropean researchers sound the alarm that Trump rule changes will hit cooperationNIH turmoil risks reciprocal EU-US access to health research fundingThis does not mean subordinating free science to competitiveness or industrial policy. On the contrary. Scientific autonomy remains the first principle of Europe's next scientific contract. Governments should not direct scientific discovery. Their responsibility is to ensure that Europe's scientific, industrial, financial and regulatory institutions work together rather than in isolation.Meeting that responsibility requires far more than research funding. European researchers need access to world-class computing infrastructure, advanced laboratories, shared datasets and scientific facilities. Innovative companies need patient capital, testing environments and a genuine single market in which they can scale without facing 27 different regulatory regimes. Public procurement must evolve from purchasing existing technologies to creating markets for new ones. Regulators must become partners in experimentation rather than guardians of yesterday's rules.A connecting architectureEurope does not need to invent the Defense Advanced Research Projects Agency (Darpa) model from scratch. Britain's Aria, Germany's Sprind and Wellcome Leap already show that Europe can build institutions capable of taking high-risk, mission-oriented bets while preserving democratic accountability. The challenge now is not to create more isolated initiatives, but to connect them to Europe's broader scientific, industrial and financial system so that breakthrough discoveries can scale.Above all, Europe must stop treating research, innovation, industrial policy, finance and security as separate policy domains. The challenge is no longer to create excellent institutions in each of these fields, but to make them work as one European innovation system. Europe's strength will increasingly depend not on excellence within institutions, but on excellence across them.Europe's ambition should be neither to imitate the US nor to emulate China. It should demonstrate that scientific freedom, democratic legitimacy and technological capability are not competing objectives, but mutually reinforcing strengths. In an age of geopolitical rivalry, Europe's greatest advantage may ultimately be its ability to attract the world's best talent by combining scientific freedom, democratic openness and technological ambition.Bush's scientific contract helped define the 20th century because it protected the freedom to discover. Europe's challenge is not to abandon that achievement but to extend it. The defining task of Europe's next scientific contract is to preserve the freedom to discover while building Europe's capacity to translate scientific discovery into technological power.Kaare Nielsen is founder of Pomus, a Danish think tank on science and innovation.
Scientists are certain a wayward SpaceX rocket slammed into the moon as predicted
A SpaceX rocket that launched a pair of lunar landers slammed into the moon as predicted on Wednesday after drifting off course for the past year, scientists reported.
CME venture with FanDuel falters as prediction startups race ahead
CME Group Inc. and FanDuel are scaling back a joint effort to take on prediction market startups after failing to gain traction.
New England Patriots Land Bold Prediction Ahead of 2026 Season
The New England Patriots have landed a major prediction ahead of the 2026 season.
It looks like a SpaceX rocket did slam into the moon (as predicted)
A SpaceX rocket that launched a pair of lunar landers slammed into the moon as predicted on Wednesday, scientists reported, after drifting off course for the past year.
Why AI Still Hasn't Had Its Einstein Moment
AI is having a remarkable run in science. It’s helping researchers predict protein structures, improve weather forecasts, discover new materials, and speed up drug discovery. Researchers are getting results far […]
Polls, prediction markets and Oklahoma politics: What you need to know this election season
Oklahoma’s primary runoffs are weeks away, but people are already placing bets on who will win. Here is how prediction markets could impact our elections.
Buffalo Bills Predicted to Land Monster 300-Pound Defender
The Buffalo Bills will once again head into the upcoming 2026 NFL season as a top-tier Super Bowl contender in the AFC. With Josh Allen leading the way, they are always going to have a shot at winning a championship.During the offseason, the Bills clearly decided to go all-in on winning now. They went out […] The post Buffalo Bills Predicted to Land Monster 300-Pound Defender appeared first on HEAVY.
The Beauty Of Settled Science
Commenters convinced me I made a subtle mis-step in my framing of Psychology Research Is Mostly Fine. My framing emphasized that social priming studies had failed to replicate, but that many other subfields of psychology hadn’t. This naturally led commenters to point to failed replications in other subfields. Although none of these were as bad as social priming, few or none were entirely problem-free. Instead of emphasizing the difference between social priming and other subfields, I should have emphasized the difference between settled science and novel research. Here are some of my favorite psychology findings: The brain is sculpted by reinforcement learning, and a key driver of this learning is a prediction-error-based algorithm located in the nucleus accumbens and implemented through dopamine. Psychedelic drugs exert their effects through 5-HT2A receptors, pointing to a role for these receptors in some sort of construct like the balance between priors and new evidence. Certain cognitive functions are localized to certain brain areas (for example, impulse control to the frontal lobes; linguistic structure to Broca’s area, linguistic meaning to Wernicke’s area. But injure one of these areas, or render a certain function useless (eg a blind person having no more use for their visual cortex), and these mappings can gradually shift - suggesting that neurons are general-purpose compute whose specialization is a contingent fact about convenience and efficiency rather than a necessity. Most personality traits and general capabilities are about 50% genetic and 50% random, with little role for family environment or childhood history, with a few notable exceptions like partisan preference. Recent research complicates this story, but the further you go from this basic picture, the gnarlier the chains of indirect causation you require. Neurons fire together in “brain waves”, whose exact frequency corresponds with the character of consciousness; These divide neurons into natural subpopulations and linked graphs. The gamma rhythm corresponds surprisingly well to items in conscious awareness. GABA receptors seem to be involved in something like relaxation. By hitting different GABA receptors in different ways, you can modulate the exact type of relaxation you produce. Hitting GABA-A directly is too powerful and can cause dangerous levels of sedation, but allosteric modulation of GABA is an incredibly fruitful strategy that underlies drugs from benzos to barbituates to alcohol. If you know your GABA-A subunits, you can target specific subtypes of relaxation; for example, Ambien hits GABA-A1 and induces sleep. Memory divides somewhat fuzzily into bins of immediate-sensory, short-term, and long-term, with separate retrieval and storage functions, and separate systems for declarative vs. procedural learning. These can be harmed selectively, usually by hippocampal injury, so that some patients can remember their life stories but not form new long-term memories, or learn new skills like bike-riding but not new facts. The exact substrate of memory is unclear but seems to involve new synaptic connections between neurons in at least some way. The ability of modern psychology and psychiatry to treat mental illness is real but limited. SSRIs work for half or slightly fewer than half of patients; antipsychotics work with extreme side effects; benzodiazpines work but produce addiction and tolerance in many (not all) people. Most supplements are stuck in Poor Quality Study Replication Crisis Hell, but melatonin and l-theanine stand out as especially promising. Psychotherapy works with moderate effect size, but (with a few exceptions) seems to be more about the relationship with the provider than the details of the therapy itself. Mental hospitalization can sometimes defuse immediate crises but work less well than mental hospitals would like, with some studies showing overall negative effects. Schizophrenia is mostly genetic, but risk also increases with prenatal infection (especially rubella) and obstetric complications; there is suggestive evidence for roles of social stress and drug use (with psychedelics and marijuana making things worse, and nicotine if anything making things better). Bipolar and schizophrenia are so closely linked on a pathophysiological level that it seems like they might be the same disease; on the clinical level, they do seem to follow two separate courses/prognoses but can sometimes surprise clinicians by eg someone who seemed condemned to permanent schizophrenia unexpectedly recovering. The brain’s native reinforcement learning algorithms cash out in the phenomena of classical and operant conditioning; different reinforcement schedules reinforce at different levels, which can be exploited by bad actors to make especially compelling products (eg slot machines). None of these are immune to doubt. A few are speculative; one or two are genuinely unorthodox. But they’re all a step above one p = 0.049 paper that might not replicate. If they get overturned, they’ll be overturned by the same sort of genuine scientific shift that replaced Ptolemy with Copernicus or Lamarck with Darwin, not some sort of sordid discovery about someone entering random numbers into a spreadsheet. In 2008, Eliezer Yudkowsky wrote about The Beauty Of Settled Science: If you only care about scientific issues that are controversial, you will end up with a head stuffed full of garbage. The media thinks that only the cutting edge of science is worth reporting on. How often do you see headlines like “General Relativity still governing planetary orbits” or “Phlogiston theory remains false”? So, by the time anything is solid science, it is no longer a breaking headline. “Newsworthy” science is often based on the thinnest of evidence and wrong half the time—if it were not on the uttermost fringes of the scientific frontier, it would not be breaking news. Scientific controversies are problems so difficult that even people who’ve spent years mastering the field can still fool themselves. That’s what makes for the heated arguments that attract all the media attention. Worse, if you aren’t in the field and part of the game, controversies aren’t even fun. Don’t be embarrassed to read elementary science textbooks, either. If you want to pretend to be sophisticated, go find a play to sneer at. If you just want to have fun, remember that simplicity is at the core of scientific beauty [...] A steady diet of science news is bad for you: You are what you eat, and if you eat only science reporting on fluid situations, without a solid textbook now and then, your brain will turn to liquid. Psychology isn’t centrally the new paper in Annals Of Recently-Breaking News saying that an n=5 study showing that large portion sizes increase support for terrorism. Psychology is centrally ideas like brain waves, GABA receptors, reinforcement learning, twin studies, and connectionism. People who think differently are worrying too much about BREAKING NEWS!!!, and should stop. The key distinction isn’t “recent research in social psychology” vs. “recent research in cognitive/bio/behavioral psychology”, as my essay last week unfortunately implied. It’s recent research in general vs. the deposit of settled science, battle-tested hypotheses, and carefully-earmarked speculation. And part of the reason social priming in particular was such a disaster was that it defied that heuristic, building itself up over hundreds of studies until it approached or even entered the pantheon of settled science - before collapsing (5-HTTLPR was also sort of like this). This isn’t a claim that settled science is always right - Freud was “settled science” for a long time - just that there’s an intuitive distinction between the level of credence you should have in the existence of power posing vs. the existence of Broca’s Area. (I compounded this error by calling the last post “Psychology Research Is Mostly Fine”, which suggested I was talking about the new research rather than the settled science. I actually meant to distinguish between research-psychology-the-field vs. clinical-psychology-aka-therapy, but this framing unintentionally pushed against the point I wanted to make) Some commenters on the previous article understood this point, but challenged its weight. It’s very cool, they said, to know how many neurons are in which brain lobe, but the main way that Psychology affected their lives was through bad clickbait studies used to buttress dumb policies; some p = 0.049 study says that exposure to microaggressions makes minorities’ brains shrivel into raisins, and now their company has to implement punitive DEI or be sued for hazardous work conditions. I won’t dispute this as an accurate description of how the sausage gets made, but it’s worth examining the trains of thought that connect this observation to a campaign against psychology in general: The dumb woke psychology was wrong and bad, and I don’t have good heuristics for distinguishing dumb woke psychology from other psychology, so I’m going to assume it’s all wrong and bad. The dumb woke psychology was wrong and bad; it seems useful to punish/discredit psychology as a whole to assist my campaign against it, so for propaganda purposes I will try to discredit psychology as a whole. To people in the first camp, my response is: come on, your heuristics aren’t that bad. “Microaggressions makes minorities’ brains shrivel up like raisins” is in the woke category; “the hippocampal theta rhythm seems to be associated with both memory and pathfinding, suggesting an unexpected yet surprisingly compelling relationship between the two” is in the not-woke category, don’t play dumb here. To people in the second camp, my response is: deliberately exaggerated propaganda campaigns are bad and this is a confession, not an excuse. Inability to view science through anything but a political lens was what got us into this problem; doubling down on it is a temporary solution but a recipe for permanent disaster. If you pronounce entire fields of science to be acceptable collateral damage in your campaign against bad political actors, you will alienate not just scientists but patients, clinicians, and general lovers of truth. Instead, you can say the thing you mean - that woke partisans shouldn’t try to occupy and exploit the otherwise-noble science of psychology for their own political gain - and wage the same campaign with a halo rather than a comic-book-villain goatee. From the font of oracular wisdom that is Weird Sun Twitter: [ Vessel Of Spirit@VesselOfSpirit i love you all conditionally but i love the good part of you unconditionally. even if it becomes a very small part 2:11 AM · Jan 22, 2015 1 Reply · 5 Reposts · 29 Likes ](https://x.com/VesselOfSpirit/status/558084551772471298) This is how I feel about psychology1, too, but with a touch more optimism. The good part of psychology is enormous, a hoard of endless treasures. You just have to look past the headlines! 1 To play devil’s advocate - should one always be so magnamious? Astrology? Phrenology? These seem different in that their entire orientation was flawed from the start; they didn’t simply fail to find the correct constellation-personality connections, the whole project of searching for connections between constellations and personality was doomed from the start. More difficult might be asking the same question about education research, which is notoriously bad. I don’t know enough about education research to know if there’s some settled science of correct and enlightening results lurking in the background beyond the day-to-day froth of poorly-conducted and politically-motivated studies. I think if it’s 90% bad, 10% good, it’s correct to call it bad as a compact way of communicating a useful truth; I think psychology is better than that, but admit it’s a tough judgment call.
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The new "science golden age" looks suspiciously like a grift
This edition of PN is made possible by paid subscribers. Become one ⬇️ 🚀 Subscribe to PN 🚀 The Trump regime is trying to usher in a “Golden Age in Science” where scientific research is run like a Trump family business, artificial intelligence is all that matters, profit is everything, and expertise is for chumps. Or at least that’s the vision emerging from a new 123-page “Report to the President” from Michael Kratsios, the Director of the White House Office of Science and Technology Policy. In a normal administration, you could probably skip over learning about a science policy document — but this is no normal administration, and this is no normal science policy document. Instead, it’s Trump’s attempt to end the actual golden age of science that was kicked off in 1945 with the publication of '“The Endless Frontier” by Vannevar Bush. [ ](https://www.publicnotice.co/p/harmeet-dhillon-portland) [ Harmeet Dhillon demonstrates danger of posting through it ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Liz Dye · Jul 29 [ Read full story ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Bush, at President Franklin Delano Roosevelt’s request, laid out a vision of federal support for science that centered on funding universities to do basic research, saying that as long as those institutions were “vigorous and healthy and their scientists are free to pursue the truth wherever it may lead, there will be a flow of new scientific knowledge to those who can apply it to practical problems in Government, in industry, or elsewhere.” Kratsios’s report is supposed to be the successor to Bush’s, and even apes the format, but this isn’t really a document about science policy. It’s one about ending science research as we know it in favor of shoveling cash at big tech companies. While it might be temping to wave this away as an aspirational policy document, Trump has already begun to shift billions in research funds to AI projects and has taken a hatchet to science funding across the board. He’s teed up the shift Kratsios proposes here, and since neither Congress nor the Supreme Court seem inclined to stop him from doing whatever he wants with taxpayer money, it isn’t doomering or hyperbole to say we are staring down the barrel of a world where the only “science” the government intends to support is for-profit tech and defense advancements. Science for dummies Part of how you can tell this isn’t a document about science is that you are immediately faced with an absolute wall of business-speak of the worst sort. Did you know we must “tightly couple our science and technology enterprises to ensure that groundbreaking ideas invented in the United States are rapidly prototyped, tested, manufactured, and scaled domestically”? You do now! That tone isn’t surprising, because Kratsios has no background in science or research. He has a bachelor’s in political science and spent most of his career working for Peter Thiel at Thiel Capital. After a stint in the first Trump administration as Chief Technology Officer, where he also did not do any science, Kratsios was tasked in 2020 with overseeing the Pentagon’s research budget for a brief time, a position that, as the Wall Street Journal put it, “carries a great deal of power in terms of dictating investment allocations.” He spent the Biden years at Scale AI as “head of strategy,” which you will also note is neither a science nor a research job. But Scale AI has contracts with the Department of Defense and, as the Washington Post wrote in 2023, “has been aggressively pitching itself as the company that will help the US military in its existential battle with China.” And now you have the necessary background for our new golden age, which is going to be a golden age of taking money away from scientists and universities and giving it to companies like Scale AI. A note from Aaron: Working with brilliant contributors like Lisa takes resources. If you aren’t already a paid subscriber, please become one to support our work. 👇 Subscribe In a genuinely galling move, Katsios spends a lot of time slamming universities because of “administrative burdens on researchers” and the “well-documented inefficiencies” in academia, the message being that those damn universities waste the time of amazing researchers with paperwork. Except it’s the administration that is attempting to impose inefficient, unnecessary burdens on those researchers with a proposed Office of Management and Budget rule that would require senior political appointees to approve every science grant and ensure it aligns with Trump’s personal priorities. Researchers would also have to seek prior government approval to attend conferences or publicize their research. And political appointees could terminate any grant at any time if they feel like it. [ ](https://www.publicnotice.co/p/omb-rule-science-funding) [ The murder of expertise ](https://www.publicnotice.co/p/omb-rule-science-funding) Lisa Needham · Jun 11 [ Read full story ](https://www.publicnotice.co/p/omb-rule-science-funding) But when it comes to AI, we’re going to “restore permissionless innovation.” The report proposes to give lucky ducky innovators a pile of cash up front for grants lasting five years or longer, saying “awards should be fully-funded in year one, with all resources earmarked upfront, to minimize administrative burdens and reduce pressure for researchers to generate intermediate results to secure continued funding.” Yeah, wouldn’t want to have to make the Very Special Tech Bros show results or get money parceled out year by year like the plebes at universities. The report also proposes that we should have “fast grants” with “simplified applications requiring just a few pages of writing” because that is definitely how science works, just writing a bit off the dome and getting some cash. [ ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) [ Tech elites are turning AI into ChatGPTrump ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Paul Waldman · July 29, 2025 [ Read full story ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Oh, and we should have prizes and challenges, where multiple teams compete. The proposed prizes include incentives like “advance procurement commitments,” which means the federal government agrees to buy whatever is being developed. There’s also “regulatory fast-tracking,” making sure all those great AI thingies don’t have to wait too long to be unleashed on a market. These aren’t incentives to do science. These are incentives to develop things with tax dollars that you can then sell to the government for more tax dollars. In the suggestion that might be the most unhinged, the most very opposite of how both government and research work, our new age will include “golden tickets.” That’s where an individual reviewer in an agency — yes, just one person — can “recommend unconventional proposals that may not pass consensus-driven review panels” because somehow this will “surface valuable ideas too divisive for committees and attract higher quality reviewers by empowering them to exercise independent scientific judgment.” Yes, that’s saying that a random person in an agency should be able to shovel money at some idea even if it can’t pass a review panel, and that the opportunity to do so will attract better employees because apparently all the best minds in science are chomping at the bit to be allowed to unilaterally fund AI research based on their personal vibes. But that isn’t at all how actual science works, and actual scientists aren’t unhappy about review panels. They work collaboratively, not siloed in some secret race to create the next AI chatbot. A 2020 study by the National Bureau of Economic Research examined whether peer review panels succeed in helping agencies predict which research ideas will best advance science. Peer review was better at finding “diamond in the rough” applicants than a single government program official. How about that. Trump always wants a taste It’s painfully clear that what Katsios is trying to do here is turn the whole of government science research and funding into the sort of “move fast and break things” paradigm that is the hallmark of big tech. That method works to line the pockets of tech executives, but it isn’t science. There’s a reason the government funds different kinds of research than private tech companies do. What Katsios either fails to understand or deliberately ignores is that the federal government is the main funder of basic research precisely because it can take a long time for it to bear fruit and is not intended to be profitable as such. “Basic” here does not mean rudimentary or simple, but rather research that is designed to advance scientific knowledge instead of achieving a specific outcome or product. Big tech companies don’t widely fund that sort of research, because it doesn’t make them money. Industry dollars account for only about 20 percent of basic research funding, while the government contributes around 60 percent. Big tech companies and startups do, however, rely on and benefit from that basic research. A 2019 study found that 35 percent of all patents obtained by venture-backed startups from 1976 to 2016 cited federally supported research. Basic research funded by the NIH contributed to every single drug the FDA approved from 2010 to 2016. [ ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) [ The Saudi nuclear farce and governance by whim and meme ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Noah Berlatsky · Jul 27 [ Read full story ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Unlike inventing the next ChatGPT, actual science is slow and iterative. Government funding of research that, on its face, would not appear to lead to any big new invention is actually what underpins those big new inventions. If the government hadn’t funded research into desert lizard venom, we wouldn’t know about semaglutide, and we wouldn’t have Ozempic. If research scientists hadn’t studied how bees optimize nectar foraging within a colony, we wouldn’t have the algorithm that assigns internet traffic across computer servers. The report assiduously ignores that a symbiotic, profitable relationship between the federal government, universities, and private companies already exists. Each federal research dollar generates about $1.50 to $3.00 in long-term economic benefits. The $36 billion the government awarded in NIH research funding in fiscal year 2025 generated $94 billion in new economic activity. Trump’s proposed new golden age is intended to strip those billions from universities, resulting in the dismantling of departments and the shuttering of labs. But Katsios has a plan for that: Universities should just become trade schools to churn out no-show STEM degrees! “Require universities and community colleges to embed practical technical training and externships into STEM curricula. Let hands-on experience and industry credentials count toward degrees.” It’s quite the feat to, on the one hand, strip schools of funding for scientific research while simultaneously demanding to control what is taught and, oh, also, colleges need to give degrees to employees at big tech companies just for being employees at big tech companies. The new golden age would also exacerbate the brain drain Trump’s policies have already caused. Nature found that in the first quarter of 2025, US scientists submitted 32 percent more job applications abroad than in 2024. A March 2025 poll by Nature of roughly 1,600 scientists found that over 1,200 said they were considering leaving the country. Europe is investing $565 million to make it a “magnet for researchers” and provide funding for scientists who relocate. The new golden age is also about embedding Trump’s xenophobia into the fabric of American science. The report complains of an “over-reliance on foreign students” that “creates a security challenge our institutions are ill-equipped to address” and that a “reliance on foreign talent sidelines American students.” This is, to put it mildly, nonsense. International students pay far higher tuition and often receive no financial aid. Their tuition dollars are what make it possible for American students to get financial aid. In the 2023-2024 school year alone, international students contributed $43.8 billion to the US economy and supported over 378,000 jobs. Those 1.1 million international students accounted for only six percent of the total number of students in higher education that year, but were such an economic engine that for every three international students, one job was created or supported. It’s impossible not to wonder whether part of Trump’s loathing for universities and their leading role in scientific research is that there is no way for him to corrupt the process and make money off it in the same way he can by giving millions and billions to Silicon Valley types who, in turn, give him millions in cash. There’s no way for his children to invest in universities that the government then gives no-bid contracts to, fattening the family’s bottom line, which is pretty much the Trump sons’ current venture capital practice. Trump and Katsios’s view of science is narrow, cramped, and wrong. We’re not in a crisis, we’re not a failed state. We’ve been a science superpower for decades, and the only thing that threatens that is Donald Trump. Tech bros are already living high off the hog in this administration. They don’t need any more of our tax dollars. Hopefully this new golden age never comes to pass. Thanks for reading Public Notice. This post is public so feel free to share it. Share We’ll be back with more tomorrow. If you appreciate today’s PN, please do your part to keep us free by signing up for a paid subscription. 🚀 Subscribe to PN 🚀 Thanks for reading, and for your support.
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The Science Behind the AI Panic Is Shakier Than You Think
A column by Sascha Lobo Is AI making us dumb? So asked DER SPIEGEL on its cover a while ago. After a few weeks of recovery and a therapeutic intervention with the help of my AI, I feel able to respond. That’s a bit unfair, of course; the article itself is more nuanced than the loud cover, the image of a schoolkid with dull prompt questions, or the subtitle: “AI is conquering the schools, and educators fear a disaster.” The short answer to “Is AI making us dumb?” is: no. The long answer is more interesting, and even carries a preliminary glimmer of the spectacular. Unfortunately, it requires a detour into the sphere of artificial intelligence, into the mogul-field terrain of technology assessment, the attention economy, and the destructive virus of cultural pessimism. Along with narrowing the scope to AI’s effects on education and work rather than on intelligence. Because the honest version of the question would be: Does AI help us learn and work, or not? Generative AI, which set off the still-ongoing hype with ChatGPT, has only existed in relevant distribution since late 2022, early 2023. For a technology-driven transformation of people and society, that is extremely short. For that reason alone, research is still in its infancy. And technology assessment is not a fast discipline anyway. Prominent voices from Elizabeth Eisenstein to RAND to Tom Wheeler say we still cannot conclusively judge the consequences of the printing press. Its invention is a mere 580 years back, and some scholars would rather not circulate assessments that might have to be retracted in two or three hundred years. We’re Going Through Growing Pains A phenomenon that already caused upheaval in social media research makes serious assessment of AI’s consequences even harder: the “moving target” problem of LLM-ology, as the linguist Sean Trott called it in 2025. AI develops so quickly and so unpredictably that researchers often end up studying snapshots of the past. There are concepts, from morphological analysis to anticipatory governance, for keeping research, planning, and regulation halfway meaningful anyway. But even with those, universally valid statements are rare. DER SPIEGEL - The German View is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber. Subscribe We should therefore treat findings about the interplay between humans and AI as far more procedural and situational. Unfortunately, this challenge comes at the worst possible time. We are going through growing pains: AI’s everyday impact has grown very large very fast, and with it the longing for guidance. Annoyingly, the body of solid knowledge has not exploded along with it. Experts cannot be moved to broad consensus on even banal statements about AI. Sascha Lobo, born in 1975, is an author and strategy consultant focusing on the internet and digital technologies. Together with Jule Lobo, he explores the debates of the day in the podcast “Feel the News – Was Deutschland bewegt” (”What Moves Germany”). Nvidia CEO Jensen Huang says software developers are dying out. Bill Gates considers coders one of only three professions that will survive the AI tsunami. Top tech economists find virtually irrefutable arguments both for and against an AI bubble. The same naturally applies to the structurally youth-hostile debate over whether AI is good or bad for young people. The gap between the demand for insight and the supply of solid knowledge creates an orientation vacuum. This vacuum of AI cluelessness is filled, as the attention economy described by Georg Franck in 1998 would have it, with half-knowledge (funnily enough, often AI-generated), marketing, and self-marketing. After all, infinite money is at stake, along with academia’s best current shot at global fame. But this iridescent froth of interpretation operates more by the algorithmic principles of the digital public sphere than by seriously earned insight. That is why dramatized, fear-feeding claims about AI are so promising. It tempts parts of academia into distorted drivel, and parts of the media then sensationalize the published drivel once more. Was the Research Aimed at a Desired Result? How badly this can influence academia and public perception is demonstrated by one of the most-discussed studies on AI’s effects: “Your Brain on ChatGPT.” The MIT study by Nataliya Kosmyna also gets plenty of space in the SPIEGEL cover story. What was measured and interpreted: lower brain activity in people who write with AI assistance, compared to people who only google or write without any tools. As is common with preprints, the study has not yet been peer-reviewed, and it contains substantial weaknesses that experts have sharply criticized. The first round had 54 participants in three groups, the second only 18, who reportedly also came from MIT’s own orbit. There was no preregistration (committing in advance to what you want to find out with which data). In their analysis, Stanković et al. even discovered an opposite effect that the study does not further explain. Some measurement data has not (yet) been published. And the EEG analysis method used is considered too imprecise to support such far-reaching conclusions. The biggest criticism, though, is the suspicion of an activism-driven study. In an interview with Time, lead author Kosmyna said she published the study immediately, rather than after full peer review, because she feared politicians might otherwise decide to put ChatGPT in kindergartens. She considers that absolutely harmful. It is legitimate to hold such a view. It just seems unscientific to approach a study with it, and then to design the setup so that the chance of a fitting desired result remains as high as possible. Ideologies Collide It is not easy to separate genuine AI insights from studies that trivialize and weaken well-founded AI criticism. The same goes for the opposing, AI-enthusiastic narratives, because the pro-AI side works against it with billions in resources. Ideologies collide, fed by egos, PR strategies, moral posturing, and once-in-a-lifetime opportunities. Doomsday marketing makes the search even harder: AI companies can profit from warnings about the dangers of AI, whether through the notoriety of apocalypse narratives or because, in some target groups, danger translates into power. Some seemingly negative findings are therefore quite welcome in the AI industry. If you try to get at the findings presumably less influenced by interest groups, the picture in education seems relatively clear: AI can improve educational outcomes when the right AI is used the right way, namely pedagogically. Simply dumping an AI chatbot into a classroom, by contrast, accomplishes little. Huge surprise. But something else is also obvious: whether they are allowed to or not, kids use AI for school, which is why the controlled integration of AI tools into education is, in the medium term, entirely without alternative. In the world of work, the landscape of findings is more complex and requires more differentiation. A series of serious studies points to an AI effect that suits neither the alarmists, regulation fetishists, and AI opponents, nor the trillion-dollar corporations with their armada of paid scientists, PR professionals, and ecosystems: working with AI helps the inexperienced (at least for now) considerably more than it helps the pros, in certain fields of work, and provided they know how to use it correctly. Missing Domain Knowledge Among the experienced, the professionals, and the high flyers, by contrast, despite frequent time savings, partially negative effects and new problems are emerging. Take the jagged frontier problem: AI solves task A brilliantly and fails completely at task B, even though both look similar even to professionals. Or the verification-cost problem, in which AI’s greater productivity gets eaten up by the enormous effort of checking its output. Or the illusion of competence, because AI makes new domains seem easily penetrable, until you painfully discover that deep domain knowledge is missing. Taken as a whole, the effects of working with AI do lean positive. But the promise that AI works as a turbocharger for everyone and boosts practically everything simply refuses to materialize. The AI magic the world has been feeling since ChatGPT arrived in late 2022 has so far barely shown up in most companies’ numbers. The consulting firm McKinsey has coined a term for this, the “gen AI paradox,” and believes that work processes and corporate structures would have to be rebuilt quite fundamentally to realize AI’s benefits at scale. Reuters just reported that only 3.3 percent of Microsoft’s customers have subscribed to the AI package Copilot. That may be down to the product; in other areas we continue to see soaring successes and new AI triumphs. But after the first quarter of 2026, disillusionment is the word for all too many AI projects at traditional companies: because the promised revolution of AI agents has so far failed to arrive or been postponed, and because of the leveling effect that many of the studies cited here suggest. Against Inequality The societal effects, on the other hand, appear rather encouraging. Many previous technologies operated on the Matthew principle, named for the Gospel verse about giving to those who already have: they tended to reward the more competent and more privileged. AI, however, seems more often to have an equalizing effect once a threshold of access and education is crossed. Some anecdotal insights point in this direction, for example, how an unemployed man in Leipzig successfully defended himself in court in 2025 against fraud accusations from Germany’s federal employment agency — without a lawyer, armed only with ChatGPT. The AI made mistakes and cited invented court rulings, but in the end the man walked away unpunished. And a key capability of artificial intelligence is its capacity to learn: set up correctly and fed with data, it can keep getting better. It is a question of time, or more precisely of AI innovations and training data, until even free AI chatbots write better legal briefs than law graduates with perfect exam scores. Whether that will make anyone dumb is something the world’s press will surely inform us of in due time. Subscribe Leave a comment
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